Bioinformatician with focus on research support within image analysis
Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 45,000 students, more than 7,000 employees and a turnover of around SEK 7 billion.
The announced position is placed at the division of visual information and interaction at the department of information technology, but is also part SciLifeLab BioImage Informatics Facility (BIIF) as described below. The department of information technology (www.it.uu.se) is a broad environment with a leading position within research as well as education at all levels. The division for visual information and interaction gathers a unique combination of expertise in computerized image processing and human computer interaction. SciLifeLab BIIF is administratively placed here, and offers education and research support within digital image processing and analysis for life science applications. Read more at http://www.scilifelab.se/facilities/bioimage-informatics/.
Science for Life Laboratory, or SciLifeLab (http://www.scilifelab.se), is a Swedish national center for molecular bioscience research with focus on health and environmental research. The center combines front line technical expertise with advanced knowledge in translational medicine and molecular biosciences. SciLifeLab is a national resource coordinated by Karolinska Institutet, the KTH Royal Institute of Technology, Stockholm university and Uppsala university, but the collaboration includes many more universities. SciLifeLab was formed 2010, and approximately 1 500 persons are currently working within the center, where 1/5 work with the facilities offering support for researchers with the life sciences. BIIF is one of the SciLifeLab facilities.
BIIF is additionally part of NMI, the National Microscopy Infrastructure within the life science in Sweden (https://nmisweden.se/) and NBIS, the National Bioinformatics Infrastructure Sweden (https://nbis.se), engaging approximately 100 bioinformaticians spread all across Sweden. BIIF is thus well connected with both image acquisition and data analysis infrastructure.
Duties: We want to expand BIIF and are looking for a researcher with a PhD degree and strong interest in developing, implementing and adjusting image analysis tools for quantitative analysis of microscopy data. Much focus is on large scale analysis based on machine learning and deep learning/AI. You will work with shorter and longer projects and offer research support via the BIIF nodes in Uppsala and Stockholm, and other universities in Sweden. The appointment also includes teaching in the form of organizing courses and workshops in digital image processing and analysis with life science applications. Supervision of MSc theses in the area is also part of the duties, as well as some involvement in research projects within Carolina Wählby’s research group, see Wählby lab.
Requirements: You should have a PhD degree within digital image analysis/image processing or similar, or alternatively a PhD degree in biomedicine/biology or similar. Documented experience of programming and development of digital image analysis methods is a requirement. Good communication skills in English, both written and spoken, is a requirement.
Additional qualifications: Experience from developing and working with machine learning and deep learning with applications in microscopy, such as tissue analysis, is meriting. Experience from postdoctoral studies (or corresponding within other settings) focused on large-scale data analysis and visualization is meriting. Especially meriting is proficiency in using and developing algorithms and analysis pipelines intended for identification and segmentation of cells and microorganisms in culture or in tissue sections, and quantification of biological parameters for these. Experience from teaching and supervision are also meriting.
To apply: Submit your application via the link below. The application should include a letter where the applicant describes the motivation for applying for this position, the relevant qualifications, and research interests. The application should also include a CV and links to relevant publications. Note that applications can only be submitted via the link below.
Salary: Individual salary.
Starting date: As soon as possible or as otherwise agreed.
Type of employment: Permanent position, with a 6 month probationary period.
Scope of employment: 100 %.
For further information about the position please contact: Carolina Wählby, email@example.com or Anna Klemm, firstname.lastname@example.org.
Please submit your application by 16 August 2021, UFV-PA 2021/2689.
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Submit your application through Uppsala University's recruitment system.
Placement: Department of Information Technology
Type of employment: Full time , Permanent position
Pay: Individual salary
Number of positions: 1
Working hours: 100 %
County: Uppsala län
Number of reference: UFV-PA 2021/2689
Last application date: 2021-08-16
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